Age-Dependent Impairment of Reendothelialization After Arterial Injury
Bibliographic record
Abstract
BACKGROUND: The mechanisms responsible for the association between advanced age and atherosclerotic diseases are not clear. Because atherosclerosis develops in response to local endothelial injuries, we investigated the effect of aging on vascular healing and reendothelialization. METHODS AND RESULTS: Endothelium denudation was performed by balloon angioplasty of the iliac arteries in young and old New Zealand White rabbits. Planimetric analysis after Evans Blue staining at 28 days after injury showed a significant decrease in reendothelialization in old versus young animals, which was associated with an important increase in neointimal formation in old rabbits. Vascular endothelial growth factor (VEGF) was rapidly induced after balloon injury. However, arterial VEGF expression was significantly reduced in old versus young animals. To confirm the role of VEGF in the age-dependent impairment of reendothelialization, an adenoviral vector encoding for VEGF(165) (adeno-VEGF) was locally delivered at the time of iliac artery angioplasty. Compared with animals treated with the control vector (adeno-betaGal), reendothelialization was significantly improved and neointimal formation reduced in old rabbits treated with adeno-VEGF. CONCLUSIONS: These results document for the first time an age-dependent impairment of reendothelialization after arterial injury. Our study indicates that VEGF supplementation may represent a useful strategy to accelerate reendothelialization and improve vascular healing in the context of aging.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".